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Abstract
An evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system. First, the approaches for multimodal biometric data fusion for verification are explained. Then the proposed implementation of comparison scores fusion is presented, including details on the application of DST, required modifications, base probability, and mass conversions. Next, the biometric verification process is described, and the engineered biometric banking system principles are provided. Finally, the validation results of three fusion approaches on synthetic and real data are presented and discussed, considering the desired outcome manifested by minimized false non-match rates for various assumed thresholds and biometric verification techniques.
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/s22062356
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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SENSORS
no. 22,
ISSN: 1424-8220 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Szczuko P., Harasimiuk A., Czyżewski A.: Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application// SENSORS -Vol. 22,iss. 6 (2022), s.2356-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/s22062356
- Sources of funding:
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- POIR.01.01.01-0092/19, BIOPUAP—a biometric cloud authentication system
- Verified by:
- Gdańsk University of Technology
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